NDA from the first contact — every engagement, without exception
Catch Digital Threats to Your Brand Before They Turn Into Losses
Reputation House (RH) finds the external digital threats already forming around your brand — fake domains impersonating you, leaked credentials on dark-web forums, coordinated negative campaigns — and puts a dollar figure on what each one could cost if it isn't stopped. You get a live threat feed and a financial-exposure score, read and triaged by a dedicated threat-analyst team, not a raw alert dashboard you have to interpret yourself.
Digital Risk Protection (DRP)
What problems we help to resolve
Signs Your Brand Requires Digital Risk Protection
Unregistered Threat Surface
A fake domain, a cloned login page or a phishing campaign using your logo can run for months before anyone at the company notices — customers usually find it first.
No Dollar Figure on the Risk
Security teams flag threats, but nobody can say what a specific leaked credential set or impersonation account would actually cost if it isn’t stopped this week.
Signals Live in Different Systems
A spike in complaints, a new lookalike domain and a leaked internal document read as three unrelated events instead of one attack building shape.
Reactive by Default
The company learns about an active scam using its name from an angry customer or a journalist — not from an internal alert.
What's included
What Digital Risk Protection (DRP) Actually Monitors
External threats to a brand rarely announce themselves on one channel. A fake domain gets registered, a credential set leaks on a dark-web forum, a coordinated review campaign starts — each one looks minor alone. Read together, they’re the early shape of an attack. Digital Risk Protection (DRP) is built to read them together, and to price what happens if nobody does.
We find digital threats to the brand before they turn into losses, and quantify what they could cost.
Digital Risk Protection (DRP) — this page's product
Threat & Alert Feed
Fake domains, phishing pages, impersonation accounts and leaked credentials, flagged the moment they’re detected across the surfaces we track.
Financial Exposure Scoring
Each active threat gets an estimated cost — lost transactions, fraud exposure, remediation — not just a severity colour.
Cross-Module Correlation
Signals from search, social listening, reviews and sentiment are checked against each other for the pattern that precedes an incident, not read in isolation.
Threat Analyst Review
A dedicated analyst triages every alert daily and tells you which ones need action now, versus which are noise.
What This Retainer Covers
Digital Risk Protection (DRP) runs on its own slice of the Risk Control Center — the cross-module Risk Signals & Alerts layer, read by a dedicated threat analyst who triages every flagged item daily. It doesn’t include correction of the search results, reviews or AI-answer content that surface separately.
Tooling vs service
Not a Listening Dashboard. A Priced Threat Feed.
Cyber-DRP platforms show you that something changed. They rarely tell you what it’s worth, and none of them hand the finding to a team that acts on it.
A
Listening / cyber-DRP platforms
SaaS alerting tools
Manual / in-house monitoring
security or comms team checks by hand
Digital Risk Protection (DRP)
What it does
Flags mentions and anomalies, unscored
Depends on someone remembering to check
Detects, correlates across channels and prices the exposure
Who acts on it
You do — no analyst included
Whoever has time that week
A dedicated threat analyst, daily triage
Coverage
Usually one channel — domains, or dark web, or social
Whatever gets checked manually, inconsistently
Search, social, reviews and sentiment correlated together
Pricing model
SaaS seat licence
Internal headcount cost, no dedicated tool
One retainer, threat analyst included
Analytical foundation
None — the dashboard doesn't decide anything
Falls on whoever noticed first
A named analyst owns triage and escalation
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Synthetic media
How We Detect Deepfakes: Detection Techniques and Forensic Analysis
Clients ask this at the audit, usually inside the first ten minutes. Here is the honest version rather than the marketing one.
Multi-Model Detection Engines, Not One Detector
Screening for AI-generated and manipulated assets runs through more than one detection engine, because no single detection model holds up across every format.
Video gets pixel-level artefact checks, lip-sync drift and blinking patterns; audio gets spectral inconsistency and speaker recognition.
The engines are trained on large datasets of real and AI-manipulated media, and they disagree often enough that we treat any single verdict as a hypothesis, not a finding.
Forensic Analysis and Metadata Checks
Then the boring part, which is usually the decisive one. Metadata, upload history, account age, where else the same asset appears. Provenance catches what the model misses: a clip that scores clean but was posted by an account created eleven minutes earlier, on a network that ran the same play against two other brands last month.
Provenance — upload history, original container, edit traces, C2PA signature if there is one
Account — age, posting pattern, follower quality, overlap with known networks
Distribution — where else the identical asset appears, and how fast it is spreading
Intent — what the clip asks the viewer to do: pay, click, log in, or just believe
Human Verification Before an Alert Reaches You
An analyst reviews everything above threshold and signs off. We verify the authenticity call ourselves instead of forwarding a raw number, because a false positive on a real executive video costs more than a slow true positive. Signs of manipulation go into the brief in plain language — what the engine saw, what the analyst saw, what does not line up.
The brief also separates confirmed synthetic content from what is only suspicious, because the two need different responses. Manipulated content aimed at customers goes to takedown. AI-generated media aimed at investors or a regulator goes to legal, and it goes there fast.
API Delivery, Reporting and Identity Verification Overlap
Alerts land in the module by default. If your security team lives somewhere else, delivery can run over an API into your own stack — enterprise-grade, but not a self-serve product you are left to interpret.
And where you already run digital identity verification or authentication checks on customer-facing flows, we flag when an impersonation or identity fraud attempt is pointed at them.
Where Deepfake Detection Technology Is Heading
Two things are shifting at once. Detection models are getting better at generalising past the generator they were trained on, and provenance standards such as C2PA are pushing the problem upstream — signing content at capture instead of judging it afterwards. Provenance will help eventually, but only for material that passes through a camera or an editor that supports it. For the next few years the practical answer does not change: several engines, human review, and monitoring that finds the file in the first place.
What to Do If You Encounter a Deepfake of Your Brand
Preserve it first — full URL, screen recording, account handle, timestamps. Do not report it from a personal account; platform reports filed by a verified brand entity move faster. Tell legal the same day even if it looks minor, because in some jurisdictions the disclosure clock starts when you knew, not when you acted. Then decide whether it needs a takedown, a public correction, or nothing at all. Clients on this retainer skip the first three steps, because the analyst has already done them.
Who it's for
Built for the Person Who Has to Price the Risk, Not Just Flag It
Threat exposure quantified in dollars, not severity labels
One team accountable for cross-channel correlation
Board-ready reporting tied to financial exposure
"I don’t need another dashboard. I need to know what a threat is going to cost if I don’t act on it this week."
Head of Information Security / CISO
Brand-facing risk, adjacent to core security
Coverage for brand-facing threats outside the security perimeter
Handoff-ready escalation briefs, not raw logs
Frees the security team from triaging brand-adjacent noise
"Phishing domains using our brand aren’t inside our perimeter, but they’re still our problem. I needed someone watching that specifically."
General Counsel / Head of Compliance
Regulated, financial or due-diligence-exposed businesses
A documented, dated threat record for regulators and auditors
Early signal before an incident becomes a disclosure event
A direct line to quantify exposure for the board
“By the time legal hears about a threat, it's usually already a problem. I want the earliest possible signal, priced.”
What we do
From First Contact to a Working Threat Feed
01
Diagnostics
We map your current external threat surface — domains, dark-web mentions, impersonation accounts and existing negative signal — and set the baseline exposure score.
02
Strategy & Scope
A scoped list of what gets tracked and at what alert threshold, priced to your actual exposure, not a generic package.
03
Launch & Module Access
Threat tracking goes live across every scoped channel, with alerts firing the moment a signal crosses threshold. This is also when your login to the Risk Signals & Alerts module goes live.
04
Continuous Operation
Every new threat gets triaged by the analyst team, scored for financial exposure and escalated when it warrants action — visible in the module any time, not just when a report lands in your inbox.
Launch is also when platform access opens up
See what's inside the Risk Signals & Alerts module
This is the same module your threat analyst works from — the exact alerts, the exact exposure scoring, the exact sources behind each flag. Nothing about your threat picture stays behind a closed door.
Threat & Alert Feed
Every active threat — fake domains, phishing pages, leaked credentials, impersonation accounts — ranked by how close it is to causing damage.
Risk Signals & Alerts Module
01/04
Financial Exposure Scoring
Each active threat gets an estimated dollar cost, not just a severity colour — so a $180K exposure and a $4K one don't compete for the same attention.
Risk Signals & Alerts Module
02/04
Cross-Module Signal Correlation
Search, social, reviews and sentiment data checked against each other — so three separate small anomalies get flagged as the one pattern they actually are.
Risk Signals & Alerts Module
03/04
Escalation & Action Plan
When a threat crosses the action threshold, the analyst hands off a concrete brief — what it is, what it could cost, and the recommended next step — not a raw alert to interpret yourself.
Risk Signals & Alerts Module
04/04
Part of a bigger platform
Risk Signals & Alerts Is One Module Inside the Risk Control Center
This retainer runs on the Risk Signals & Alerts module specifically, correlated across search, social, reviews and sentiment data. The same platform also covers each of those channels in full depth — available as their own single-workstream retainers, or together under RH Detection’s Brand Monitoring & Risk Detection, the full 5-module program. If a flagged threat becomes an active incident, that handoff goes to Crisis Management (RH Defence).
Overview & RPN Score
Social Listening
Search Results
Review Platforms
AI Representation
Risk Signals & Alerts
Action Plan
Reports Archive
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End-to-end solution
Platform & Expert Team Support
The Risk Signals & Alerts module gives you the data, always on. The threat analyst gives you what to do with it — correlating every signal, scoring what it’s worth, and handing off a concrete escalation brief the moment something crosses the threshold for action.
A
Risk Signals & Alerts Module
the platform layer
Reputation House
the team on top of it
What it gives you
Live detection of domains, leaks, impersonation and negative-signal activity, updated as new threats appear
Correlation, financial-exposure scoring and a risk call on what actually needs escalation — not just a moving alert count
Who's watching it
You, whenever you log in
A dedicated threat analyst, checking every new signal — whether you log in or not
When something changes
A new alert appears in the feed
The analyst traces which signals connect, prices the exposure, and tells you whether it’s noise or something to act on
What backs the judgment calls
Real-time data from your own tracked channels
That data, read against RH Research Center studies across 2M+ mentions and 39 global brands — not this account’s history alone
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Case Studies
What Getting Ahead of a Threat Looks Like
Financial Services
Brand · UAE, Oman, Qatar, Bahrain · 4 months
Before: A UAE business family's online footprint was creating exactly the picture banks and payment processors read as risk during KYC review — empty results reading as evasion, negative ones reading as red flags, threatening account access across five markets at once.
After: 0 → 12 content islands built as a clean, verifiable digital record. 4 flagged links were deindexed only after replacements ranked, and negative presence in Google local results was cut by 14.6 points — banking relationships held across all five markets.
Reputation House client engagement, 2025. Anonymized at the client's request. Closest documented RH case by financial stakes — the mechanic was footprint correction, not continuous threat-feed monitoring.
Bank of London
Fintech · Clearing
What happened: A UK clearing-house fintech was found to have submitted fraudulent documents — a compliance failure nobody flagged externally until regulators did, resulting in a £2M fine.
Mechanic: The fine came bundled with a direct threat to the banking licence itself — exactly the kind of externally-surfaced exposure a live threat feed is built to catch before a regulator does, not after.
What happened: A hacking attack on the Canvas learning platform blocked access mid-semester for hundreds of US universities, forcing a public apology from the CEO.
Mechanic: Reuters' coverage of the breach turned a single incident into a permanently indexed part of the company's digital footprint — discoverable by every future customer's due-diligence team.
What happened: The DOJ charged the company's co-founder with smuggling $2.5B of Nvidia chips to China — the stock fell 33%, wiping out $4.5B in market cap the same day Reuters published.
Mechanic: The market had zero warning. The exposure had been building for a long time, undetected externally, until a single news story repriced the company in hours.
Our case library is broken down by sector — financial services, fintech, real estate and more. Tell us yours and we'll send the closest matches.
What we don't promise
The Boundaries Of This Solution
Not Active Response
This retainer detects, correlates and scores. If a flagged threat turns into an active incident that needs takedown execution or crisis response, that handoff goes to Crisis Management (RH Defence) — a separate engagement.
No Fixed Timeline
We can’t promise exactly when a new fake domain gets registered or a leak surfaces on a given forum — threat actors don’t run on a schedule. We alert the moment we detect something, not on a fixed reporting cycle.
We Don’t Replace Your Security Team
We don’t replace in-house InfoSec, legal or compliance — we cover the brand-facing threat surface that usually sits outside a security perimeter, and hand off what needs their attention.
Not the Whole Platform
This covers the Risk Signals & Alerts module specifically — see the platform section above for how it compares to full 5-module RH Detection coverage.
You’re pricing what an undetected threat costs — a fraud exposure that compounds for weeks before anyone notices, a leaked credential set used against your customers, a phishing domain that runs long enough to convert. This is priced against that exposure, not against a headcount of analysts.
We Don't Price Like a Listening Tool
This isn’t a SaaS seat licence with a dashboard you interpret yourself. Correlating signals across channels and pricing the exposure means a dedicated analyst reads every alert — the same discipline RH’s Control and Defence clients already rely on.
The Price Includes the Risk Signals & Alerts Module
This retainer covers cross-module threat detection and exposure scoring specifically. It doesn’t include full 5-module monitoring or active correction of search, reviews or AI answers — those run as their own workstreams, including RH Detection’s full Brand Monitoring & Risk Detection program.
It's a Retainer, Not a Project
New domains get registered, new leaks surface and new impersonation accounts appear continuously — a one-time audit freezes a snapshot; a retainer keeps watching for what’s next.
Tell us your brand, your domains and the markets you operate in. We’ll run an initial threat sweep — fake domains, leaked credentials, impersonation accounts — and scope what continuous monitoring and exposure scoring would look like, before anything starts.
Digital Risk Protection (DRP) runs $ 5−25K/month, scoped to your threat exposure at the audit.
A flagged threat just became an active incident? Different team, different pricing model.
Learn more
FAQ
Straight Answers
RH Detection's cross-module threat retainer: ongoing detection of external digital threats — fake domains, phishing pages, leaked credentials, impersonation accounts — correlated across search, social, reviews and sentiment, with every active threat priced for financial exposure and triaged by a dedicated analyst.
Digital Risk Protection (DRP) runs on the Risk Signals & Alerts module specifically — external threats, correlated and priced. Brand Monitoring & Risk Detection is RH Detection's full 5-module program covering everything findable about the brand, not just active-threat signals. Both currently sit in the same $5–25K/month range; the difference is threat-specific correlation and exposure pricing versus full-field visibility.
Not under this retainer. Digital Risk Protection (DRP) detects, correlates and prices exposure, then hands off an escalation brief. Active response — takedown execution, legal escalation, crisis communications — runs as Crisis Management (RH Defence), a separate engagement.
Each threat type has a modelled cost basis — fraud exposure, remediation, revenue or conversion risk — benchmarked against RH Research Center data across 2M+ mentions and 39 global brands, then applied to the specific scale and channel of the detected threat. The exact model is scoped to your business at the audit, not a fixed formula published per client.
Domain registrations, phishing pages, dark-web forums and leak sites, impersonation accounts on social platforms, and coordinated negative-review activity — correlated against your existing search and sentiment baseline.
Yes. Every engagement runs under strict confidentiality terms, designed to be discreet by default.
No. Digital Risk Protection (DRP) covers the brand-facing threat surface that typically sits outside a security perimeter — domains, impersonation, dark-web mentions — and hands findings to your InfoSec, legal or compliance team. It doesn't replace them.
Flagged media goes through several detection engines rather than one — pixel-level artefacts and blinking patterns on video, spectral inconsistency and speaker recognition on audio — plus metadata and provenance checks. Machine learning models trained on large datasets return a confidence score, and an analyst verifies the call before anything reaches you.
Partly. Deepfake detection software is accurate on a file you already hold. The failure point is finding the file — most brands never learn a deepfake video exists until a customer forwards it. That discovery gap is what this service covers.
Detection, correlation and exposure pricing sit here. Takedown execution and legal escalation run through Crisis Management (RH Defence), a separate engagement.
Video, audio, still images and text-driven misinformation campaigns. In practice most confirmed cases are images and videos on ad networks and short-form platforms, with audio deepfakes rising fastest in finance and procurement.
A monthly retainer, $5–25K/month, depending on region, channels covered and current threat exposure. Full tiers are on the pricing page, or a confidential audit confirms the exact quote.
Free Reputation Audit
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Your information is confidential and will never be shared
Reputation House is a Digital Risk Protection company headquartered in Dubai, UAE, with offices in Hong Kong. Founded in 2019, the company provides online reputation management, AI reputation monitoring, SERM, and crisis response services to enterprise clients in fintech, pharmaceuticals, B2B SaaS, and private equity globally. Its proprietary platform, Risk Control Center, monitors digital risks across search engines, AI models, media environments, and review platforms.